also reveal a move to the common mid-point. Fractionally integrated time series models support the convergence thesis with … right-most and left-most party affiliates converging most rapidly. However, the convergence we find may be part of a … nonperiodic wave-like pattern were periods of convergence are alternated by periods of divergence. Future political conflicts may …

also reveal a move to the common mid-point. Fractionally integrated time series models support the convergence thesis with … right-most and left-most party affiliates converging most rapidly. However, the convergence we find may be part of a … nonperiodic wave-like pattern were periods of convergence are alternated by periods of divergence. Future political conflicts may …

focusses on the long memory parameter d that allows us to obtain different convergence classifications depending on its value … is that we find long memory mean reverting convergence, something that is also consistent with Pesaran et al (2009). In … explaining the speed of convergence as captured by the estimated long memory parameter d we find impediments to trade such as …

focusses on the long memory parameter d that allows us to obtain different convergence classifications depending on its value … that we find long memory mean reverting convergence, something that is also consistent with Pesaran et al (2009). In … explaining the speed of convergence as captured by the estimated long memory parameter d we find impediments to trade such as …

-run coefficients from the micro relations. Finally, the approach advocated in the paper is applied to aggregation of life …

decision is binary and persistent, the aggregation of individual time series can result in a fractionally integrated process … series can be modelled as I(d) processes. We also investigate the proposition that temporal aggregation of a fractionally …

This paper investigates the problem of aggregation in the case of large linear dynamic panels, where each micro unit is … extent to which ‘observed’ inflation persistence at the aggregate level is due to aggregation and/or common unobserved …

We discuss joint temporal and contemporaneous aggregation of N independent copies of AR(1) process with random …

The aggregation procedure when a sample of length N is divided into blocks of length m = o(N), m ® ¥ and observations … varying levels of aggregation, has much smaller bias, permitting derivation of limiting distributional properties of suitably …